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Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up.
Mechanical Systems Role: As a Mechanical Engineer Intern on the Hardware Team at Field AI, you will contribute to the design and implementation of mechanical systems that house and support sensing and compute platforms in real-world environments. From ruggedized enclosures to thermal management to manufacturability, your work will be critical to ensuring our systems operate reliably in the field. Responsibilities may span the full lifecycle from CAD through production to field support. You will collaborate closely with electrical, compute, and systems engineers to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on mechanical systems you will likely contribute across all hardware domains.
What You Will Get To Do
- Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis.
- Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces.
- Ingress Protection: Implement IP-rated solutions with gaskets, seals, membranes, and coatings to meet water/dust ingress standards.
- Thermal Management: Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides.
- Mass & Volume Budgets: Ensure adherence to payload constraints, including tight volumetric envelopes and weight limitations.
- CAD & Simulation: Build detailed SolidWorks CAD assemblies. Run FEA and thermal simulations to validate strength, durability, and heat dissipation.
- Material & Component Selection: Choose materials and components to meet mass, strength, thermal, and manufacturability constraints.Design for Production: Apply DFM, DFA, DFS principles throughout the design lifecycle.
- System Testing: Conduct mechanical load testing (shock, vibration), thermal validation, ingress tests, and sensor alignment assessments.
- Prototyping: Rapidly iterate on prototypes for fit checks, thermal evaluations, and integration trials.
- Documentation & Budgets: Generate mechanical drawings, GD&T annotations, BOMs, and assembly instructions for fabrication and QA. Manage weight, volume, and thermal budgets.
- Build: Work with vendors and contract manufacturers to procure mechanical hardware. Develop QA checks for incoming units. Support payload integration and scaling.
- Debug: Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments.
- Monitor: Develop protocols for monitoring the system mechanical health and loads.
Mechanical System Design
Mechanical System Implementation
Mechanical System Production & Servicing
What You Have
- Education: Current Bachelor’s student in Robotics, Mechanical, or Mechatronics Engineering or a closely rated field.
- Experience Level: The ideal candidate for this internship will be a current undergrad student that has completed one year of school.
- CAD Expertise: Beginner with SolidWorks or equivalent mechanical CAD platforms.
- Thermal & Structural Analysis: Willingness to learn with FEA and thermal modeling tools.
- Field-Ready Design: Experience designing tangible assemblies that function.
- Manufacturing Knowledge: Experience with additive manufacturing, bonus for subtractive.
- Mechanical Systems Integration: Comfortable working with compute or embedded systems (Arduino, Raspberry Pi, etc.).
- Lab Skills: Comfort with mechanical debugging, tinkering, and standard shop tools.
- Cross Functional Robotic Skills: Ability to contribute to robotic and sensing projects.
What Will Set You Apart
- Scaling: Experience taking systems from prototype through design iteration.
- Field Environments: Experience developing systems for harsh field environments.
- Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.
- Systems Level Robotics: Fluency across mechanical, electrical, and software systems.
- Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
